Department of Humanities and Social Sciences

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    Enhancing College Students' Critical Thinking Through Classroom News Literacy Intervention
    (IEEE, 2024) Chauhan, Gajendra Singh
    In our interconnected world, people are witnessing a dramatic increase in access to information and communication. Nevertheless, discerning trustworthy sources, validating information, distinguishing between fact and opinion, determining what content to share, and navigating other related challenges have become increasingly complex. Therefore, people should acquire the knowledge, skill, belief, and behavior to consume and create news informedly and ethically. As young individuals transition into adulthood, they begin to take charge of their life decisions. At this juncture, they must acquire news literacy skills. Thus, the au-thors developed an intervention to enhance news literacy among this age group in a College of Science and Technology employing the student's media competence (SuMeC) framework. Following a three-month training period, the participants' literacy proficiency was assessed through assignments using the Structure of the Observed Learning Outcomes (SOLO) taxonomy. The study adds new dimensions to the existing research pool by focusing on how and to what extent college students apply the competencies in everyday life. The findings demonstrate that the intervention effectively integrates news literacy skills among them and the intervention sets an example of how to generate news literacy skills among students in Indian settings.
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    FakeExpose: Uncovering the falsity of news by targeting the multimodality via transfer learning
    (Taru Publications, 2023-08) Chauhan, Gajendra Singh; Sharma, Yashvardhan
    Social media for news utilization has its own pros and cons. There are several reasons why people look for and read news through internet media. On the one hand, it is easier to access, and on the other, social media’s dynamic content and misinformation pose serious problems for both government and public institutions. Several studies have been conducted in the past to classify online reviews and their textual content. The current paper suggests a multimodal strategy for the (FND) task that covers both text and image. The suggested model (FakeExpose) is created to automatically learn a variety of discriminative features, instead of relying on manually created features. Several pre-trained words and image embedding models, such as DistilRoBERTa and Vision Transformers (ViTs) are used and fine-tined for the best feature extraction and the various word dependencies. Data augmentation is used to address the issue of pre-trained textual feature extractors not processing a maximum of 512 tokens at a time. The accuracy of the presented model on PolitiFact and GossipCop is 91.35 percent and 98.59 percent, respectively, based on current standards. According to our knowledge, this is the first attempt to use the FakeNewsNet repository to reach the maximum multimodal accuracy. The results show that combining text and image data improves accuracy when compared to utilizing only text or images (Unimodal). Moreover, the outcomes imply that adding more data has improved the model’s accuracy rather than degraded it.
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    Sanctity of digital privacy and personal data during covid-19: are youths enough digitally literate to deal with it?
    (Revistes, 2023) Chauhan, Gajendra Singh
    The COVID-19 pandemic has fast-tracked the development of digital applications and inspired everyone to adapt to the technologies to curb the spread of outbreak. As this crisis intensifies, the rapid usage of digital devices and apps has echoed the serious concerns about civil liberties, privacy, and data protection. Considering the situation, this research aimed to explore the internet using habits of the youths of West Bengal, a state in eastern India, during COVID-19. Besides, the paper explored their experiences using various digital applications, and the fundamental digital literacy of them and the safeguards they often take to protect their data from breaches. Thus,the paper presents the results by conducting an online survey among the youths in West Bengal. The result, from 215 participants, highlighted that the increased use of these digital applications has not matched the demand for digital privacy literacy among the young generation of the state. While this pandemic has raised their concerns over digital privacy and data protection, yet they do not undertake any strong protection mechanisms to protect them digitally. Besides, this paper suggests suitable plans to raise awareness among this generation and form a healthy digital citizenship with a proper regulatory framework as it is the need of the hour.